Learn R Programming

cnaOpt (version 0.5.2)

Optimizing Consistency and Coverage in Configurational Causal Modeling

Description

This is an add-on to the 'cna' package comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) .

Copy Link

Version

Install

install.packages('cnaOpt')

Monthly Downloads

244

Version

0.5.2

License

GPL (>= 2)

Maintainer

Mathias Ambuehl

Last Published

July 8th, 2022

Functions in cnaOpt (0.5.2)

findOutcomes

Identify the factors that can possibly be modeled as outcomes prior to running CNA
selectMax

Select the con-cov optima from a 'conCovOpt' object that maximize a specified optimality criterion
ereduce

Find all minimal disjunctive normal forms (DNF) of an input DNF
conCovOpt

Find consistency and coverage optima for configurational data
cnaOpt

Find atomic solution formulas with optimal consistency and coverage
conCovOpt_utils

Build disjunctive normal forms realizing con-cov optima